Request a demo
See ACO run on your own products
Book a live demo and we’ll show you exactly how AI shopping engines read your products today, and how ReFiBuy makes them win visibility and conversion as those engines evolve.
It’s a working session, not a slideshow: a ReFiBuy Solutions Engineer who works with our clients every day walks you through the platform end to end, at the SKU level.
“ReFiBuy’s Commerce Intelligence Engine has accelerated our understanding of our readiness for Agentic Shopping experiences and how GenAI understands our product catalog.”
Josh Krepon
President of US DTC & Global Digital, Steve Madden
Book your demo
Trusted by leading brands and retailers
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Two ways to run it
Pick how you want to run it
Recommended
Your products
Send us a sample datafeed or a set of SKUs from your site and we’ll run them through the platform live, read-only. You’ll see how your catalog looks to AI agents out of the box, where they’re missing or misreading your products, and how those same SKUs look once ReFiBuy enriches them. Nothing is changed or published. It’s the fastest way to see what ACO is worth for your brand.
No data needed
Our demo store
Not ready to share a feed? We’ll walk you through a sample bicycle-parts store and run a complete Agentic Commerce Optimization loop end to end, so you can see the full workflow before bringing in your own catalog.
End to end · at the SKU level
What your Solutions Engineer will walk you through
The full Agentic Commerce Optimization loop, from raw catalog data to how AI shopping engines actually answer buyers.
01Ingest
Import your product data across your catalog stack (PIM, feeds, storefront) and normalize it at the SKU level.
02Evaluate
See how AI agents actually answer a buyer’s question about your product: where you rank, where you’re invisible, and which reviews they’re repeating.
03Enrich
Generate richer titles, descriptions, specs, and structured attributes (including schema.org reviews and conversational feeds), with human oversight where accuracy and brand consistency matter.
04Distribute
Push optimized product data to the engines that matter: answer engines like ChatGPT and Gemini, and retail shopper agents like Walmart’s Sparky and Amazon’s Alexa.
05Monitor
Track the AI Digital Shelf continuously and correct issues at scale as the engines change. ACO is a closed loop, not a one-time cleanup.
The follow-up you keep
Your ACO Everywhere Audit
After the demo we can deliver your ACO Everywhere Audit: a SKU-level report card for the agentic shelf that shows exactly how your product behaves the moment a shopper asks an AI to find and buy it. We take a live SKU, run the real buyer prompt through every engine that matters (ChatGPT, Gemini, Walmart’s Sparky, Amazon’s Alexa) and capture each engine’s actual answer, not a summary of it.
In one customer’s audit, one agent called the product “100% overpriced” and steered shoppers to a rival at half the price.
Every finding lands as a fix, split into answer-engine and retail-agent playbooks. It’s the same audit we run for customers, built on your data, and it’s yours to keep whatever you decide next.
Visibility, engine by engine
Where you rank against retailers, and where you’re missing entirely.
The review narrative the AI is repeating
Which sources it pulls from and the exact objections it’s amplifying.
Surface the gaps
Where agents raise issues and concerns about your products, so you can counteract them.
Comparison positioning
How you stack up against your own catalog and the products the agents recommend instead.